Are you passionate about embedding artificial intelligence into robotic systems to create intelligent, adaptive, and autonomous machines?

Do you have the technical skills to build algorithms that empower robots to perceive, learn, and make decisions?

If you’re ready to design the AI that gives robots their "smarts," our client has the ideal role for you.

We’re looking for an AI Engineer for Robotics (aka The Machine Intelligence Architect) to develop and implement AI-driven solutions that push the boundaries of robotics innovation.As an AI Engineer for Robotics at our client, you’ll work closely with software, hardware, and robotics teams to create algorithms for perception, navigation, manipulation, and autonomous behavior.

Your role will be pivotal in designing robots that can analyze environments, adapt to new tasks, and improve over time.Key Responsibilities: Design and Implement AI Models for Robotic Systems: Develop AI models for object detection, path planning, obstacle avoidance, and decision-making.

You’ll leverage machine learning, deep learning, and reinforcement learning techniques to enhance robotic intelligence.

Build Perception and Computer Vision Capabilities: Integrate computer vision algorithms for perception, recognition, and scene understanding.

You’ll enable robots to interpret visual data and interact intelligently with their surroundings.

Develop Algorithms for Autonomous Navigation and Path Planning: Design algorithms that allow robots to navigate dynamic environments autonomously.

You’ll work on SLAM (Simultaneous Localization and Mapping), path planning, and motion control for safe and efficient movement.

Implement Reinforcement Learning for Adaptive Behavior: Use reinforcement learning and other adaptive algorithms to enable robots to learn from experience and improve performance.

You’ll create systems that can self-optimize and respond to new tasks and challenges.

Optimize Models for Real-Time Performance on Embedded Systems: Adapt and compress AI models for deployment on embedded or edge computing platforms.

You’ll ensure that models run efficiently on hardware-constrained robotic systems.

Collaborate with Cross-Functional Teams on System Integration: Work closely with robotics, control, and software engineers to integrate AI models with mechanical and electronic systems.

You’ll ensure seamless interaction between AI-driven behaviors and physical components.

Test, Validate, and Fine-Tune AI Systems: Conduct rigorous testing in simulation and real-world environments to validate AI model performance.

You’ll troubleshoot, analyze, and refine models to handle edge cases and ensure reliability.